The Dow Jones Industrial Average (DJIA) index dropped around 8,000 points in the four weeks from February 12 to March 11, 2020, but has since recovered and peaked at 44,910.65 points as of November 24, 2024. In February 2020 - just prior to the global coronavirus (COVID-19) pandemic, the DJIA index stood at a little over 29,000 points. U.S. markets suffer as virus spreads The COVID-19 pandemic triggered a turbulent period for stock markets – the S&P 500 and Nasdaq Composite also recorded dramatic drops. At the start of February, some analysts remained optimistic that the outbreak would ease. However, the increased spread of the virus started to hit investor confidence, prompting a record plunge in the stock markets. The Dow dropped by more than 3,500 points in the week from February 21 to February 28, which was a fall of 12.4 percent – its worst percentage loss in a week since October 2008. Stock markets offer valuable economic insights The Dow Jones Industrial Average is a stock market index that monitors the share prices of the 30 largest companies in the United States. By studying the performance of the listed companies, analysts can gauge the strength of the domestic economy. If investors are confident in a company’s future, they will buy its stocks. The uncertainty of the coronavirus sparked fears of an economic crisis, and many traders decided that investment during the pandemic was too risky.

United States Avg Weekly Hours: sa: PW: Financial Activities data was reported at 37.000 Hour in Oct 2018. This stayed constant from the previous number of 37.000 Hour for Sep 2018. United States Avg Weekly Hours: sa: PW: Financial Activities data is updated monthly, averaging 36.100 Hour from Jan 1964 (Median) to Oct 2018, with 658 observations. The data reached an all-time high of 37.300 Hour in Apr 1966 and a record low of 35.200 Hour in Apr 1990. United States Avg Weekly Hours: sa: PW: Financial Activities data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G040: Current Employment Statistics Survey: Average Weekly Hours: Production Workers: Seasonally Adjusted.

Graph and download economic data for Average Weekly Earnings of All Employees, Financial Activities (CES5500000011) from Mar 2006 to Feb 2025 about earnings, financial, establishment survey, employment, and USA.

The main stock market index in Japan (JP225) decreased 2147 points or 5.38% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks this benchmark index from Japan. Japan Stock Market Index (JP225) - values, historical data, forecasts and news - updated on March of 2025.

The main stock market index in Hong Kong (HK50) increased 3587 points or 17.88% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks this benchmark index from Hong Kong. Hong Kong Stock Market Index (HK50) - values, historical data, forecasts and news - updated on March of 2025.

Graph and download economic data for Average Weekly Earnings of Production Employees: Financial Activities: Finance and Insurance in West Virginia (SMU54000005552000030) from Jan 2003 to Jan 2025 about finance companies, companies, finance, insurance, WV, earnings, financial, production, employment, and USA.

Earnings Calendar Upcoming earnings calendar dates - confirmed or forecasted, with the expected timing of announcements. This includes preliminary earnings announcements.

DateBreaks (earnings date revisions) Includes revisions to earnings announcement dates and/or status. Also alerts when the earnings announcement date crosses before or after the weekly or monthly option contract expiration.

EPS Results For traders focused on today's earnings announcement activity, including comparisons of what was expected versus what actually occurred, we provide both the estimated and reported earnings per share figures. It includes links to live source documents.

Earnings Conference Calls Earnings conference call details including dates, times and URLs and direct links to earnings call transcripts.

Interim Calendar Access critical dates and information when public companies report key sales, production and financial information between their quarterly or semi-annual earnings announcements.

Dividends & Distributions Covers close to 5,300 dividend paying companies, over 30 providers & 2,000 ETFs in US. Includes all corporate dividends dates and ETF distributions payable in the next 12 months plus status.

Dividend Monitor To meet the fast delivery requirements of options traders, HFT/algo traders and market makers, we offer a streaming feed of announced dividend dates and amounts.

ETF Calendar The Exchange Traded Funds (ETF) Event Calendar delivers projected and historical ETF distribution dates and amounts for over US 2,000 ETFs.

Corporate Actions • Buybacks • Secondary Offerings
• Spinoffs • Mergers & Acquisitions • Stock Splits • IPOs • Announced Dividends with status and ETFs

The Wall Street Horizon universe covers 9,000 global companies including NYSE, NASDAQ, OTC, FTSE 100, CAC 40, DAX 30, Hang Seng 50, Nikkei 225, EAFE and Dow Jones STOXX 1000 constituent companies.

Graph and download economic data for Average Weekly Earnings of All Employees: Financial Activities in Oregon (SMU41000005500000011A) from 2007 to 2024 about OR, earnings, financial, employment, and USA.

The main stock market index in Russia (MOEX) increased 264 points or 9.16% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks this benchmark index from Russia. Russia Stock Market Index MOEX CFD - values, historical data, forecasts and news - updated on March of 2025.

United States - Average Weekly Earnings of All Employees, Financial Activities was 1761.18000 $ per Week in February of 2025, according to the United States Federal Reserve. Historically, United States - Average Weekly Earnings of All Employees, Financial Activities reached a record high of 1761.18000 in February of 2025 and a record low of 887.25000 in March of 2006. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Average Weekly Earnings of All Employees, Financial Activities - last updated from the United States Federal Reserve on March of 2025.

The Dow Jones Industrial Average (DJIA) is a stock market index used to analyze trends in the stock market. While many economists prefer to use other, market-weighted indices (the DJIA is price-weighted) as they are perceived to be more representative of the overall market, the Dow Jones remains one of the most commonly-used indices today, and its longevity allows for historical events and long-term trends to be analyzed over extended periods of time. Average changes in yearly closing prices, for example, shows how markets developed year on year. Figures were more sporadic in early years, but the impact of major events can be observed throughout. For example, the occasions where a decrease of more than 25 percent was observed each coincided with a major recession; these include the Post-WWI Recession in 1920, the Great Depression in 1929, the Recession of 1937-38, the 1973-75 Recession, and the Great Recession in 2008.

Techsalerator’s News Event Data in Asia offers a detailed and expansive dataset designed to provide businesses, analysts, journalists, and researchers with comprehensive insights into significant news events across the Asian continent. This dataset captures and categorizes major events reported from a diverse range of news sources, including press releases, industry news sites, blogs, and PR platforms, offering valuable perspectives on regional developments, economic shifts, political changes, and cultural occurrences.

Key Features of the Dataset: Extensive Coverage:

The dataset aggregates news events from a wide range of sources such as company press releases, industry-specific news outlets, blogs, PR sites, and traditional media. This broad coverage ensures a diverse array of information from multiple reporting channels. Categorization of Events:

News events are categorized into various types including business and economic updates, political developments, technological advancements, legal and regulatory changes, and cultural events. This categorization helps users quickly find and analyze information relevant to their interests or sectors. Real-Time Updates:

The dataset is updated regularly to include the most current events, ensuring users have access to the latest news and can stay informed about recent developments as they happen. Geographic Segmentation:

Events are tagged with their respective countries and regions within Asia. This geographic segmentation allows users to filter and analyze news events based on specific locations, facilitating targeted research and analysis. Event Details:

Each event entry includes comprehensive details such as the date of occurrence, source of the news, a description of the event, and relevant keywords. This thorough detailing helps users understand the context and significance of each event. Historical Data:

The dataset includes historical news event data, enabling users to track trends and perform comparative analysis over time. This feature supports longitudinal studies and provides insights into the evolution of news events. Advanced Search and Filter Options:

Users can search and filter news events based on criteria such as date range, event type, location, and keywords. This functionality allows for precise and efficient retrieval of relevant information. Asian Countries and Territories Covered: Central Asia: Kazakhstan Kyrgyzstan Tajikistan Turkmenistan Uzbekistan East Asia: China Hong Kong (Special Administrative Region of China) Japan Mongolia North Korea South Korea Taiwan South Asia: Afghanistan Bangladesh Bhutan India Maldives Nepal Pakistan Sri Lanka Southeast Asia: Brunei Cambodia East Timor (Timor-Leste) Indonesia Laos Malaysia Myanmar (Burma) Philippines Singapore Thailand Vietnam Western Asia (Middle East): Armenia Azerbaijan Bahrain Cyprus Georgia Iraq Israel Jordan Kuwait Lebanon Oman Palestine Qatar Saudi Arabia Syria Turkey (partly in Europe, but often included in Asia contextually) United Arab Emirates Yemen Benefits of the Dataset: Strategic Insights: Businesses and analysts can use the dataset to gain insights into significant regional developments, economic conditions, and political changes, aiding in strategic decision-making and market analysis. Market and Industry Trends: The dataset provides valuable information on industry-specific trends and events, helping users understand market dynamics and identify emerging opportunities. Media and PR Monitoring: Journalists and PR professionals can track relevant news across Asia, enabling them to monitor media coverage, identify emerging stories, and manage public relations efforts effectively. Academic and Research Use: Researchers can utilize the dataset for longitudinal studies, trend analysis, and academic research on various topics related to Asian news and events. Techsalerator’s News Event Data in Asia is a crucial resource for accessing and analyzing significant news events across the continent. By offering detailed, categorized, and up-to-date information, it supports effective decision-making, research, and media monitoring across diverse sectors.

The main stock market index in Turkey (BIST 100) decreased 220 points or 2.24% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks this benchmark index from Turkey. Turkey Stock Market - values, historical data, forecasts and news - updated on March of 2025.

Techsalerator’s News Event Data in Latin America offers a detailed and extensive dataset designed to provide businesses, analysts, journalists, and researchers with an in-depth view of significant news events across the Latin American region. This dataset captures and categorizes key events reported from a wide array of news sources, including press releases, industry news sites, blogs, and PR platforms, offering valuable insights into regional developments, economic changes, political shifts, and cultural events.

Key Features of the Dataset: Comprehensive Coverage:

The dataset aggregates news events from numerous sources such as company press releases, industry news outlets, blogs, PR sites, and traditional news media. This broad coverage ensures a wide range of information from multiple reporting channels. Categorization of Events:

News events are categorized into various types including business and economic updates, political developments, technological advancements, legal and regulatory changes, and cultural events. This categorization helps users quickly locate and analyze information relevant to their interests or sectors. Real-Time Updates:

The dataset is updated regularly to include the most recent events, ensuring users have access to the latest news and can stay informed about current developments. Geographic Segmentation:

Events are tagged with their respective countries and regions within Latin America. This geographic segmentation allows users to filter and analyze news events based on specific locations, facilitating targeted research and analysis. Event Details:

Each event entry includes comprehensive details such as the date of occurrence, source of the news, a description of the event, and relevant keywords. This thorough detailing helps in understanding the context and significance of each event. Historical Data:

The dataset includes historical news event data, enabling users to track trends and perform comparative analysis over time. This feature supports longitudinal studies and provides insights into how news events evolve. Advanced Search and Filter Options:

Users can search and filter news events based on criteria such as date range, event type, location, and keywords. This functionality allows for precise and efficient retrieval of relevant information. Latin American Countries Covered: South America: Argentina Bolivia Brazil Chile Colombia Ecuador Guyana Paraguay Peru Suriname Uruguay Venezuela Central America: Belize Costa Rica El Salvador Guatemala Honduras Nicaragua Panama Caribbean: Cuba Dominican Republic Haiti (Note: Primarily French-speaking but included due to geographic and cultural ties) Jamaica Trinidad and Tobago Benefits of the Dataset: Strategic Insights: Businesses and analysts can use the dataset to gain insights into significant regional developments, economic conditions, and political changes, aiding in strategic decision-making and market analysis. Market and Industry Trends: The dataset provides valuable information on industry-specific trends and events, helping users understand market dynamics and emerging opportunities. Media and PR Monitoring: Journalists and PR professionals can track relevant news across Latin America, enabling them to monitor media coverage, identify emerging stories, and manage public relations efforts effectively. Academic and Research Use: Researchers can utilize the dataset for longitudinal studies, trend analysis, and academic research on various topics related to Latin American news and events. Techsalerator’s News Event Data in Latin America is a crucial resource for accessing and analyzing significant news events across the region. By providing detailed, categorized, and up-to-date information, it supports effective decision-making, research, and media monitoring across diverse sectors.

United States Agg Weekly Hours: sa: Index: Mfg: Printing & Support Activities data was reported at 69.800 2007=100 in Nov 2018. This records a decrease from the previous number of 70.100 2007=100 for Oct 2018. United States Agg Weekly Hours: sa: Index: Mfg: Printing & Support Activities data is updated monthly, averaging 73.800 2007=100 from Mar 2006 (Median) to Nov 2018, with 153 observations. The data reached an all-time high of 102.700 2007=100 in Dec 2006 and a record low of 69.800 2007=100 in Nov 2018. United States Agg Weekly Hours: sa: Index: Mfg: Printing & Support Activities data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G035: Current Employment Statistics Survey: Aggregate Weekly Payroll and Hours Index.

Graph and download economic data for Average Weekly Earnings of Production Employees: Financial Activities: Finance and Insurance in Ohio (SMU39000005552000030) from Jan 2001 to Dec 2018 about finance companies, companies, finance, insurance, OH, earnings, financial, production, employment, and USA.

This is not going to be an article or Op-Ed about Michael Jordan. Since 2009 we've been in the longest bull-market in history, that's 11 years and counting. However a few metrics like the stock market P/E, the call to put ratio and of course the Shiller P/E suggest a great crash is coming in-between the levels of 1929 and the dot.com bubble. Mean reversion historically is inevitable and the Fed's printing money experiment could end in disaster for the stock market in late 2021 or 2022. You can read Jeremy Grantham's Last Dance article here. You are likely well aware of Michael Burry's predicament as well. It's easier for you just to skim through two related videos on this topic of a stock market crash. Michael Burry's Warning see this YouTube. Jeremy Grantham's Warning See this YouTube. Typically when there is a major event in the world, there is a crash and then a bear market and a recovery that takes many many months. In March, 2020 that's not what we saw since the Fed did some astonishing things that means a liquidity sloth and the risk of a major inflation event. The pandemic represented the quickest decline of at least 30% in the history of the benchmark S&P 500, but the recovery was not correlated to anything but Fed intervention. Since the pandemic clearly isn't disappearing and many sectors such as travel, business travel, tourism and supply chain disruptions appear significantly disrupted - the so-called economic recovery isn't so great. And there's this little problem at the heart of global capitalism today, the stock market just keeps going up. Crashes and corrections typically occur frequently in a normal market. But the Fed liquidity and irresponsible printing of money is creating a scenario where normal behavior isn't occurring on the markets. According to data provided by market analytics firm Yardeni Research, the benchmark index has undergone 38 declines of at least 10% since the beginning of 1950. Since March, 2020 we've barely seen a down month. September, 2020 was flat-ish. The S&P 500 has more than doubled since those lows. Look at the angle of the curve: The S&P 500 was 735 at the low in 2009, so in this bull market alone it has gone up 6x in valuation. That's not a normal cycle and it could mean we are due for an epic correction. I have to agree with the analysts who claim that the long, long bull market since 2009 has finally matured into a fully-fledged epic bubble. There is a complacency, buy-the dip frenzy and general meme environment to what BigTech can do in such an environment. The weight of Apple, Amazon, Alphabet, Microsoft, Facebook, Nvidia and Tesla together in the S&P and Nasdaq is approach a ridiculous weighting. When these stocks are seen both as growth, value and companies with unbeatable moats the entire dynamics of the stock market begin to break down. Check out FANG during the pandemic. BigTech is Seen as Bullet-Proof me valuations and a hysterical speculative behavior leads to even higher highs, even as 2020 offered many younger people an on-ramp into investing for the first time. Some analysts at JP Morgan are even saying that until retail investors stop charging into stocks, markets probably don’t have too much to worry about. Hedge funds with payment for order flows can predict exactly how these retail investors are behaving and monetize them. PFOF might even have to be banned by the SEC. The risk-on market theoretically just keeps going up until the Fed raises interest rates, which could be in 2023! For some context, we're more than 1.4 years removed from the bear-market bottom of the coronavirus crash and haven't had even a 5% correction in nine months. This is the most over-priced the market has likely ever been. At the night of the dot-com bubble the S&P 500 was only 1,400. Today it is 4,500, not so many years after. Clearly something is not quite right if you look at history and the P/E ratios. A market pumped with liquidity produces higher earnings with historically low interest rates, it's an environment where dangerous things can occur. In late 1997, as the S&P 500 passed its previous 1929 peak of 21x earnings, that seemed like a lot, but nothing compared to today. For some context, the S&P 500 Shiller P/E closed last week at 38.58, which is nearly a two-decade high. It's also well over double the average Shiller P/E of 16.84, dating back 151 years. So the stock market is likely around 2x over-valued. Try to think rationally about what this means for valuations today and your favorite stock prices, what should they be in historical terms? The S&P 500 is up 31% in the past year. It will likely hit 5,000 before a correction given the amount of added liquidity to the system and the QE the Fed is using that's like a huge abuse of MMT, or Modern Monetary Theory. This has also lent to bubbles in the housing market, crypto and even commodities like Gold with long-term global GDP meeting many headwinds in the years ahead due to a...

United States Avg Weekly Earnings: FA: All Other Financial Investment Activities data was reported at 1,911.910 USD in Sep 2018. This records an increase from the previous number of 1,799.030 USD for Aug 2018. United States Avg Weekly Earnings: FA: All Other Financial Investment Activities data is updated monthly, averaging 1,464.970 USD from Mar 2006 (Median) to Sep 2018, with 151 observations. The data reached an all-time high of 1,912.710 USD in Apr 2018 and a record low of 1,242.460 USD in Oct 2013. United States Avg Weekly Earnings: FA: All Other Financial Investment Activities data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G032: Current Employment Statistics Survey: Average Weekly and Hourly Earnings.

United States Avg Weekly Hours: sa: Mfg: Printing & Support Activities data was reported at 38.200 Hour in Oct 2018. This records a decrease from the previous number of 38.400 Hour for Sep 2018. United States Avg Weekly Hours: sa: Mfg: Printing & Support Activities data is updated monthly, averaging 37.600 Hour from Mar 2006 (Median) to Oct 2018, with 152 observations. The data reached an all-time high of 38.700 Hour in Jul 2018 and a record low of 36.900 Hour in Apr 2014. United States Avg Weekly Hours: sa: Mfg: Printing & Support Activities data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G038: Current Employment Statistics Survey: Average Weekly Hours: Seasonally Adjusted.

United States Avg Weekly Earnings: FA: Other Insurance Related Activities data was reported at 1,319.050 USD in May 2018. This records a decrease from the previous number of 1,388.570 USD for Apr 2018. United States Avg Weekly Earnings: FA: Other Insurance Related Activities data is updated monthly, averaging 1,103.270 USD from Mar 2006 (Median) to May 2018, with 147 observations. The data reached an all-time high of 1,388.570 USD in Apr 2018 and a record low of 898.060 USD in Mar 2006. United States Avg Weekly Earnings: FA: Other Insurance Related Activities data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G032: Current Employment Statistics Survey: Average Weekly and Hourly Earnings.